Data security refers to measures to protect data from unauthorized access, use, disclosure, destruction or alteration. Data security includes physical security, network security, application security, data backup and recovery, etc.
Data classification refers to dividing data into different levels according to the importance and sensitivity of data, and formulating different security measures according to different levels of data. Generally speaking, data classification can be divided into four levels: public, internal, confidential and top secret. Different levels of data require different measures for protection, such as encryption, access control, backup and recovery, etc.
Data security refers to measures to protect data from unauthorized access, use, disclosure, destruction or alteration. Data security includes physical security, network security, application security, data backup and recovery, etc.
Data classification refers to dividing data into different levels according to the importance and sensitivity of data, and formulating different security measures according to different levels of data. Generally speaking, data classification can be divided into four levels: public, internal, confidential and top secret. Different levels of data require different measures for protection, such as encryption, access control, backup and recovery, etc.
What is data classification and classification
? Split it into three parts for understanding.
Data: Any record of information in electronic or non-electronic form.
Data classification: According to the attributes or characteristics of organizational data, it is distinguished and classified according to certain principles and methods, and a certain classification system and arrangement order are established to better manage and use organizational data.
Data grading: the process of grading classified organizational data according to certain grading principles, so as to provide support for the formulation of security policies for the opening and sharing of organizational data.
04 Significance of data classification and classification
1. Satisfy self-development
Data classification and grading play a connecting role. Continuing from the above: the management system in terms of operation and maintenance systems, safeguard measures, job responsibilities, etc. must rely on data classification and classification for implementation. Inspiration: According to different data levels, different security protections are implemented. For example, high-level data needs to implement fine-grained rule control and data encryption, and low-level data can only be audited one-way.
2. Improve the use value of data.
Data asset sorting is the basis of data governance. It sorts out specific database assets, data assets, and account authority information, and formulates data exchange and sharing strategies at all levels. While improving operational capabilities, fine-grained management of data assets, Continuously provide accurate data services for financial institutions.
3. Reduce data security risks
Adopting standardized data classification and grading methods will help financial institutions clarify data assets, determine the importance or sensitivity of data, and take appropriate and reasonable management methods and security protection measures in a targeted manner to form a A set of scientific and standardized data asset management and protection mechanisms, thereby reducing the possibility of data being tampered with, destroyed, leaked, lost or illegally used.
4. Satisfy compliance requirements
Satisfying compliance is the most basic requirement for the smooth operation of financial institutions. There are requirements in the "Network Security Law", "Data Security Law", and other insurance and financial industry standards. Enterprises should follow the supervision of the financial industry It is required to implement, and the process and technical means are used to effectively implement the data classification and classification work.